{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:51:44Z","timestamp":1742914304397,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031471117"},{"type":"electronic","value":"9783031471124"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-47112-4_13","type":"book-chapter","created":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T05:01:54Z","timestamp":1698296514000},"page":"141-150","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Few-Shot Legal Text Segmentation via Rewiring Conditional Random Fields: A Preliminary Study"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4991-4984","authenticated-orcid":false,"given":"Alfio","family":"Ferrara","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6863-0082","authenticated-orcid":false,"given":"Sergio","family":"Picascia","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9681-9423","authenticated-orcid":false,"given":"Davide","family":"Riva","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,26]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Aumiller, D., Almasian, S., Lackner, S., Gertz, M.: Structural text segmentation of legal documents. In: Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law (2020)","DOI":"10.1145\/3462757.3466085"},{"key":"13_CR2","unstructured":"Castano, S., Ferrara, A., Montanelli, S., Picascia, S., Riva, D.: A knowledge-based service architecture for legal document building. In: 2nd International Workshop on Knowledge Management and Process Mining for Law. Sherbrooke, Quebec, Canada (2023)"},{"key":"13_CR3","doi-asserted-by":"publisher","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1, pp. 4171\u20134186. Association for Computational Linguistics, Minneapolis, Minnesota (2019). https:\/\/doi.org\/10.18653\/v1\/N19-1423, https:\/\/aclanthology.org\/N19-1423","DOI":"10.18653\/v1\/N19-1423"},{"key":"13_CR4","unstructured":"Glavas, G., Ganesh, A., Somasundaran, S.: Training and domain adaptation for supervised text segmentation. In: Workshop on Innovative Use of NLP for Building Educational Applications (2021)"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Glavas, G., Nanni, F., Ponzetto, S.P.: Unsupervised text segmentation using semantic relatedness graphs. In: International Workshop on Semantic Evaluation (2016)","DOI":"10.18653\/v1\/S16-2016"},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"Grover, C., Hachey, B., Korycinski, C.: Summarising legal texts: sentential tense and argumentative roles. In: HLT-NAACL 2003 (2003)","DOI":"10.3115\/1119467.1119472"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Koshorek, O., Cohen, A., Mor, N., Rotman, M., Berant, J.: Text segmentation as a supervised learning task. In: North American Chapter of the Association for Computational Linguistics (2018)","DOI":"10.18653\/v1\/N18-2075"},{"key":"13_CR8","unstructured":"Lafferty, J.D., McCallum, A., Pereira, F.: Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: International Conference on Machine Learning (2001)"},{"key":"13_CR9","unstructured":"Licari, D., Comand\u00e8, G.: Italian-legal-BERT: a pre-trained transformer language model for Italian law. In: CEUR Workshop Proceedings (Ed.), The Knowledge Management for Law Workshop (KM4LAW) (2022)"},{"key":"13_CR10","unstructured":"Loshchilov, I., Hutter, F.: Decoupled weight decay regularization. In: International Conference on Learning Representations (2017)"},{"key":"13_CR11","unstructured":"Savelka, J., Ashley, K.D.: Segmenting US court decisions into functional and issue specific parts. In: International Conference on Legal Knowledge and Information Systems (2018)"},{"key":"13_CR12","unstructured":"Solbiati, A., Heffernan, K., Damaskinos, G., Poddar, S., Modi, S., Cal\u00ec, J.: Unsupervised topic segmentation of meetings with BERT embeddings. ArXiv abs\/2106.12978 (2021)"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Zanoli, E., et al.: Annotators-in-the-loop: testing a novel annotation procedure on Italian case law. In: Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII), pp. 118\u2013128. Association for Computational Linguistics, Toronto, Canada (2023). https:\/\/aclanthology.org\/2023.law-1.12","DOI":"10.18653\/v1\/2023.law-1.12"}],"container-title":["Lecture Notes in Computer Science","Advances in Conceptual Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-47112-4_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T16:13:43Z","timestamp":1710346423000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-47112-4_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031471117","9783031471124"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-47112-4_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"26 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ER","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Conceptual Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lisbon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"42","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"er2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/er2023.inesc-id.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy Chair (Familiarity)","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"117","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.09+1","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.47+3.55","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes, additional reviewers listed in preface (subreviewers supervised by PC members)","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}